How to compare two arrays using tensorflow?

Question

I need to compare two arrays and get either true or false,not elementwise result. My code is

X = tf.constant([0.05, 0.10], dtype=tf.float32, shape=[1, 2])
y = tf.constant([0.01, 0.99], dtype=tf.float32, shape=[1, 2])

equality = tf.equal(X, y)

prints [False, False]

my requirement is to get true or false, not an array.

Answer 1

Assuming that you want to return False if any of your values are not equal then you can use the reduce_all operation:

equality = tf.math.reduce_all(tf.equal(X, y))

Answer 2

I got solution.

equality = tf.equal(X, y)   
reduce_t = tf.reduce_all(equality)
print(sess.run(reduce_t))